Donata De Marco

688 total citations
14 papers, 524 citations indexed

About

Donata De Marco is a scholar working on Epidemiology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Donata De Marco has authored 14 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 4 papers in Immunology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Donata De Marco's work include Influenza Virus Research Studies (5 papers), Respiratory viral infections research (5 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Donata De Marco is often cited by papers focused on Influenza Virus Research Studies (5 papers), Respiratory viral infections research (5 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Donata De Marco collaborates with scholars based in Italy, United States and Switzerland. Donata De Marco's co-authors include Nicasio Mancini, Roberto Burioni, Massimo Clementi, Nicola Clementi, Roberta A. Diotti, Mario Perotti, Laura Solforosi, Nadia Ghidoli, Monica Sassi and Daniela Clerici and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Virology.

In The Last Decade

Donata De Marco

14 papers receiving 511 citations

Peers

Donata De Marco
Comparison fields: 5 of 73
  • Epidemiology 290
  • Radiology, Nuclear Medicine and Imaging 116
  • Infectious Diseases 95
  • Immunology 93
  • Clinical Biochemistry 80
Manuela Zlamy Austria
Takashi Tanaka Japan
Seok Lae Chae South Korea
Juergen Loeffler Germany
Takahiko Fukuchi Japan
Uffe Vest Schneider Denmark
Juan Diego Mediavilla Spain
Felipe Pérez‐García Spain
Joshua C. Eby United States
David C. Gritz United States
Manuela Zlamy Austria View profile →
Citations per field, relative to Donata De Marco
Donata De Marco · 1×
Citations per year, relative to Donata De Marco
Donata De Marco · 1×

Countries citing papers authored by Donata De Marco

Since Specialization
Citations

This map shows the geographic impact of Donata De Marco's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Donata De Marco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donata De Marco more than expected).

Fields of papers citing papers by Donata De Marco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donata De Marco. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Donata De Marco. The network helps show where Donata De Marco may publish in the future.

Co-authorship network of co-authors of Donata De Marco

This figure shows the co-authorship network connecting the top 25 collaborators of Donata De Marco. A scholar is included among the top collaborators of Donata De Marco based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Donata De Marco. Donata De Marco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 35
2 5
3 44
4 42
5 50
6 40
7 48
8
Molecular cloning of the first human monoclonal antibodies neutralizing with high potency swine-origin influenza A pandemic virus (S-OIV).
25
9 27
10 36
11 22
12 105
13
Development and validation of a molecular method for the diagnosis of medically important fungal infections.
14
14 31

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026